Model-based patient matching for in-parallel multiplexing mechanical ventilation support

Co-ventilation; Decision support; Model-based method; Parallel ventilation; Ventilation; Decision supports; Matchings; Mechanical; Mechanical ventilation; Model-based OPC; Research use; Ventilation requirements; Decision support systems

Abstract :

[en] Surges of COVID-19 infections could lead to insufficient supply of mechanical ventilators, and rationing of needed care. Multiplexing mechanical ventilators (co-MV) to serve multiple patients is a potential temporary solution. However, if patients are ventilated in parallel ventilation, there is currently no means to match ventilation requirements or patients, with no guidelines to date for co-MV. This research uses patient-specific clinically validated respiratory mechanics models to propose a method for patient matching and mechanical ventilator settings for two-patient co-MV under pressure control mode. The proposed method can simulate and estimate the resultant tidal volume of different combinations of co-ventilated patients. With both patients fulfilling the specified constraint under similar ventilation settings, the actual mechanical ventilator settings for co-MV are determined. This method allows clinicians to analyze in silico co-MV before clinical implementation. © 2021 The Authors.

Disciplines :

Anesthesia & intensive care

Author, co-author :

Wong, J.W.; School of Engineering, Monash University Malaysia, Selangor, Malaysia

Chiew, Y.S.; School of Engineering, Monash University Malaysia, Selangor, Malaysia

Desaive, Thomas ; Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles

Geoffrey Chase, J.; Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand

Language :

English

Title :

Model-based patient matching for in-parallel multiplexing mechanical ventilation support

Publication date :

2021

Event name :

11th IFAC Symposium on Biological and Medical Systems BMS 2021

Event date :

19 September 2021 through 22 September 2021

By request :

Yes

Journal title :

IFAC-PapersOnLine

ISSN :

2405-8971

eISSN :

2405-8963

Publisher :

Elsevier

Volume :

Issue :

Pages :

121 - 126

Peer review/Selection committee :

Peer Reviewed verified by ORBi

Available on ORBi :

since 08 July 2025

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